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Internship Bank Data Scientist Jobs in Rochester, NY

Haley & Aldrich

Staff Wetland Scientist 1

Rochester, NY · On-site

$45.26K - $65.56K/yr

Conduct routine data collection, analysis, and reporting using approved standard procedures ... internships included. * Experience with conducting natural resources field surveys and/or ...

Danaher

Digital Analyst Internships

Rochester, NY

$97.80K - $115.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Geneseo, NY

$95K - $112.30K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

R&D Internships

Rochester, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Danaher

R&D Internships

Geneseo, NY

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

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Internship Bank Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do internship bank data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for internship bank data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Bank Data Scientist, and why are they important?

To thrive as an Internship Bank Data Scientist, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), SQL databases, and machine learning libraries is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and convey insights to non-technical stakeholders. These skills are crucial for transforming complex data into actionable strategies that support banking operations and decision-making.

What types of projects do Internship Bank Data Scientists typically work on, and how do these projects contribute to the bank's objectives?

Internship Bank Data Scientists often work on projects involving data analysis, predictive modeling, and process automation to support departments like risk management, marketing, and customer analytics. These projects might include developing models to detect fraudulent transactions, segmenting customers for targeted offers, or optimizing internal workflows. Interns collaborate closely with senior data scientists, analysts, and IT teams, gaining exposure to real-world banking datasets and tools. The work completed by interns not only contributes to the bank’s data-driven decision making but also provides valuable, hands-on experience that can lead to future full-time opportunities.

What does an Internship Bank Data Scientist do?

An Internship Bank Data Scientist assists banking organizations in analyzing large sets of financial data to uncover trends, improve decision-making, and enhance services. Their work typically involves cleaning and preparing data, applying statistical models, and creating visualizations to communicate insights. Interns often collaborate with senior data scientists and other departments to support projects related to risk assessment, fraud detection, and customer analytics. This role provides hands-on experience with industry-standard tools and real-world banking data, offering valuable exposure to the field.

What is the difference between Internship Bank Data Scientist vs Data Analyst?

AspectInternship Bank Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldsOften holds a degree in Data Analysis, Statistics, or related fields
Work EnvironmentInternship setting within financial institutions or banks, focusing on data modeling and analysisVaries from finance to marketing, working with data visualization and reporting
Employer & Industry UsageUsed by banks and financial firms for data-driven decision making during internshipsCommon across industries for interpreting data and supporting business decisions

The Internship Bank Data Scientist role is an entry-level position focused on developing data science skills within banking environments, often as part of an internship program. In contrast, Data Analysts typically work across various industries, focusing on data interpretation and reporting. While both roles require analytical skills and familiarity with data tools, the Data Scientist role emphasizes modeling and machine learning, whereas Data Analysts focus more on data visualization and descriptive analysis.

What are popular job titles related to Internship Bank Data Scientist jobs in Rochester, NY? For Internship Bank Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Internship Bank Data Scientist jobs in Rochester, NY look for? The top searched job categories for Internship Bank Data Scientist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Bank Data Scientist jobs? Cities near Rochester, NY with the most Internship Bank Data Scientist job openings:
Internship Bank Data Scientist jobs near you
entry level software developer/Junior data analyst

entry level software developer/Junior data analyst

SynergisticIT

Rochester, NY • On-site

$66.10K - $85.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

"Failing Interviews? Turn 'Almost' Into an Offer."
Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT's Job Placement Program (JOPP) is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus of JOPP is not "finish a course." The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing bootcamps or online courses? Typically it's one (or several) of these gaps:
  1. Weak fundamentals (you know syntax, but not the "why")
  2. Poor project explanation (you built something, but can't defend design decisions)
  3. Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy)
  4. No repetition under pressure (whiteboard/online assessments feel unfamiliar)
  5. Lack of structured mock interview practice
SynergisticIT addresses these gaps by treating interviews as a skill you train-like a sport. You don't just watch videos; you practice real drills. The program emphasizes real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted?
Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates.
Why the placement model matters for interview success
Many bootcamps train and then stop. When you fail interviews, you're left alone to "figure it out" with no feedback loop. JOPP is structured around a loop: learn → practice → get feedback → fix → reattempt. That's what converts "almost" into "offer."
SynergisticIT also notes that a meaningful portion of JOPP attendees-often around 30%-have previously tried other bootcamps, university programs, or platforms like Udemy/Coursera and still didn't land jobs. The reason: most programs focus on learning content, not interview readiness + job placement execution.
Ideal candidates who benefit from interview-focused help
This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact us (Get Started): https://www.synergisticit.com/contact-us/
If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers.

Apply